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Paper Citation Record · LEDGER

Research evaluation with ChatGPT: Is it age, country, length, or field biased?

As of 14 August 2026, this Paper Citation Record lists 2 of 2 outbound references and 1 inbound Pith citation observation for arXiv:2411.09768.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2411.09768 v1

Coverage vector

measured 2 of 2 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-12T20:23:24.142722Z

measured 3 of 3 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-14T06:32:32.682623+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-10T22:56:55.831146Z

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: pith, observed 2026-08-11T00:16:15.729268Z

Reference resolution

2 of 2 outbound references displayed

  • verified exact0
  • verified fuzzy1
  • unresolved1
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 0c58bac1-ceab-4464-a792-966ac2bd0e08 · outbound

This paper cites la Caixa.

Research evaluation with ChatGPT: Is it age, country, length, or field biased? la Caixa

Reference 1

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T20:23:24.320604Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-12T20:23:24.134324Z digest=sha256:03dbe004aa544b589746556b01724aecbaa801949f28272c8432db6ed7ec6954

Observation b74b3bdb-bc58-4820-9390-8a65a38a972c · outbound

This paper cites an unresolved cited work.

Research evaluation with ChatGPT: Is it age, country, length, or field biased? Unresolved cited work

Reference 2022

Resolution
unresolved
no resolver link, observed 2026-08-12T20:23:24.142722Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T20:23:24.142722Z digest=sha256:47fa9d2d53d84d0350613921e2c52ca8fe265133e3f1f841f93e3fb8558a4941

Pith citing papers

Observation 2b2d6118-b775-4def-b6f3-b0328b091d5b · inbound

Who Gets Recommended? Investigating Gender, Race, and Country Disparities in Paper Recommendations from Large Language Models cites this paper.

Who Gets Recommended? Investigating Gender, Race, and Country Disparities in Paper Recommendations from Large Language Models Research evaluation with ChatGPT: Is it age, country, length, or field biased?

Reference 39

Resolution
verified exact
local_arxiv, observed 2026-08-10T22:56:55.899216Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-10T22:56:55.831146Z digest=sha256:6d411109d18fa1680b3dee51cac38b7926d884f86692ebfd3026fe40e472b62b